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- Tasks: Develop trading strategies and analyse data to drive alpha generation in commodities.
- Company: Join DRW, a leading trading firm with a culture of innovation and respect.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Make an impact in global markets using cutting-edge technology and data analysis.
- Qualifications: Degree in a quantitative field and experience with AI and large datasets.
- Other info: Collaborative team atmosphere with high expectations and a focus on integrity.
The predicted salary is between 36000 - 60000 £ per year.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
DRW are looking for an experienced Quant Researcher to join our global commodities trading team to aid in alpha generation, research, development, and maintenance of analytics infrastructure.
Responsibilities- Develop systematic trading strategies and alpha generating signals across commodity markets
- Enhance data collection procedures to support improved design, development and maintenance of data pipelines to be used in research/trading
- Analyze large, diverse datasets to identify trends as well as build and maintain models to support trading decisions, including the use of AI and LLMs
- Extract and organize data from a number of source options, performing quantitative analysis in support of trading
- Assist in the development of analytical tools
- Translate business needs into data science projects
- Collaborate with stakeholders at each stage of the project
- Communicate projects and results to audiences with different backgrounds
- Create and maintain post-trade diagnostics tools across various strategies
- A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field
- Experience using AI and LLMs
- Passion and interest for a quant researcher role solving real‑world business problems
- Minimum of two years’ experience in alpha generating role
- Experience working with large datasets, data cleaning, preprocessing, and feature engineering
- Experience building, validating, deploying, monitoring, and updating predictive models
- Excellent programming and scripting skills
- Experience working independently and delivering results
- Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholders
- Strong collaborative intent, strong outcome‑driven focus
- Positive, team‑focused attitude
Quantitative Researcher - Commodities employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Commodities
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with DRW employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects or any relevant work. This gives you a chance to demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of commodities trading. Be ready to discuss how you can contribute to alpha generation and data analysis at DRW.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the DRW team.
We think you need these skills to ace Quantitative Researcher - Commodities
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the Quant Researcher role shine through. We want to see your genuine interest in solving real-world business problems and how you can contribute to our team.
Tailor Your CV: Make sure your CV is tailored to highlight relevant experience and skills that match the job description. We love seeing how your background in mathematics, statistics, or computer science aligns with what we do at DRW.
Be Clear and Concise: In your written application, communicate your ideas clearly and concisely. We appreciate applicants who can break down complex concepts into understandable terms, especially since you'll be collaborating with diverse stakeholders.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team.
How to prepare for a job interview at DRW
✨Know Your Numbers
As a Quantitative Researcher, you'll be expected to handle complex data. Brush up on your statistics and programming skills before the interview. Be ready to discuss specific projects where you've used these skills to generate alpha or solve real-world problems.
✨Showcase Your Problem-Solving Skills
DRW values innovation and the ability to challenge consensus. Prepare examples of how you've approached difficult problems in your previous roles. Highlight your thought process and the impact of your solutions on trading strategies or analytics.
✨Communicate Clearly
You'll need to explain complex ideas to diverse audiences. Practice summarising your past projects in simple terms. Focus on how you can translate technical jargon into actionable insights for stakeholders who may not have a quantitative background.
✨Demonstrate Collaboration
Collaboration is key at DRW. Think of instances where you've worked with cross-functional teams. Be prepared to discuss how you contributed to team success and how you handle feedback and differing opinions during projects.